Comparison
awesome vs pdf-reader-mcp
Verdict
Pick awesome when license: awesome is CC0-1.0, pdf-reader-mcp is MIT; pick pdf-reader-mcp when license: pdf-reader-mcp is MIT, awesome is CC0-1.0.
Markdown twin · awesome alternatives · pdf-reader-mcp alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome | pdf-reader-mcp |
|---|---|---|
| Maintenance | Active (11d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No MCP manifest As of today · mcp_manifest |
Tagline
- awesome
- 😎 Curated list of awesome topics including hardware resources
- pdf-reader-mcp
- 📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor,
Stars
- awesome
- 484k
- pdf-reader-mcp
- 815
Forks
- awesome
- 36k
- pdf-reader-mcp
- 70
Open issues
- awesome
- 92
- pdf-reader-mcp
- 9
Language
- awesome
- -
- pdf-reader-mcp
- TypeScript
Adopt for
- awesome
- -
- pdf-reader-mcp
- -
Persona
- awesome
- -
- pdf-reader-mcp
- -
Runtime
- awesome
- -
- pdf-reader-mcp
- -
License
- awesome
- CC0-1.0
- pdf-reader-mcp
- MIT
Last pushed
- awesome
- Jun 30, 2026
- pdf-reader-mcp
- Jul 10, 2026
Categories
- awesome
- LLM Frameworks
- pdf-reader-mcp
- LLM Frameworks, AI Agents, Computer Vision
Trust and health
Maintenance
- awesome
- Active (82%)
- pdf-reader-mcp
- Very active (96%)
Days since push
- awesome
- 11d
- pdf-reader-mcp
- 0d
Open issues (now)
- awesome
- 92
- pdf-reader-mcp
- 9
Owner type
- awesome
- User
- pdf-reader-mcp
- Organization
Security scan
- awesome
- No lockfile
- pdf-reader-mcp
- No MCP manifest
Full report
- awesome
- Trust report
- pdf-reader-mcp
- Trust report
Choose awesome if…
- License: awesome is CC0-1.0, pdf-reader-mcp is MIT.
- Tags unique to awesome: resources, awesome-list.
- More GitHub stars (484k vs 815) - visibility, not fit.
When NOT to use awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Choose pdf-reader-mcp if…
- License: pdf-reader-mcp is MIT, awesome is CC0-1.0.
- Tags unique to pdf-reader-mcp: llm-tool, document-processing, agent-document-twin, evidence-first.
- Also covers AI Agents, Computer Vision.
When NOT to use pdf-reader-mcp
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (SylphxAI/pdf-reader-mcp) · observed Jul 11, 2026
- GitHub forks (SylphxAI/pdf-reader-mcp) · observed Jul 11, 2026
- Last push (SylphxAI/pdf-reader-mcp) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome 484k · pdf-reader-mcp 815 (synced Jul 11, 2026).
Common questions
- What is the difference between awesome and pdf-reader-mcp?
- awesome: 😎 Curated list of awesome topics including hardware resources. pdf-reader-mcp: 📄 The PDF intelligence layer for AI agents — Agent Document Twin, evidence-first extraction, visual crops, OCR provenance, trust reports, and benchmark-gated releases. MCP server for Claude, Cursor, . See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome over pdf-reader-mcp?
- Choose awesome over pdf-reader-mcp when License: awesome is CC0-1.0, pdf-reader-mcp is MIT; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 815) - visibility, not fit.
- When should I choose pdf-reader-mcp over awesome?
- Choose pdf-reader-mcp over awesome when License: pdf-reader-mcp is MIT, awesome is CC0-1.0; Tags unique to pdf-reader-mcp: llm-tool, document-processing, agent-document-twin, evidence-first; Also covers AI Agents, Computer Vision.
- When should I avoid awesome?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- When should I avoid pdf-reader-mcp?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Is awesome or pdf-reader-mcp more popular on GitHub?
- awesome has more GitHub stars (484,026 vs 815). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome and pdf-reader-mcp open source?
- Yes - both are open-source projects on GitHub (awesome: CC0-1.0, pdf-reader-mcp: MIT).
- Where can I find alternatives to awesome or pdf-reader-mcp?
- GraphCanon lists graph-backed alternatives at awesome alternatives and pdf-reader-mcp alternatives (awesome markdown twin, pdf-reader-mcp markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome or pdf-reader-mcp?
- awesome: Active. pdf-reader-mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for awesome and pdf-reader-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome trust report; pdf-reader-mcp trust report.